AI Solutions

Enterprise AI Chatbots & Virtual Assistants

We build production AI assistants on RAG architecture — grounded in your data, integrated with your systems, and compliant with the DPDP Act. Delivered in 6 weeks.

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The problem

Why generic chatbots fail enterprise

Data privacy risks

Generic chatbot platforms send your business data to shared models. Every query risks exposing confidential information.

No integration with existing systems

Off-the-shelf chatbots cannot access your CRM, ERP, or internal databases — so they cannot answer real business questions.

Hallucinations without grounding

LLMs without retrieval augmentation generate confident but wrong answers. Enterprise applications require factual accuracy.

Our approach

How Neuracle builds enterprise AI

Your Data Sources→RAG Pipeline→LLM (OpenAI / Gemini / Claude)→Your Interface

Key capabilities

Multi-language — Hindi + English
WhatsApp / Web / App deployment
CRM and ERP integration
DPDP-compliant data handling
Human escalation routing
On-premise deployment option
No training on client data
Audit logs and access controls
Analytics and usage dashboard

Engagement options

Choose how to get started

AI Starter

For teams exploring AI

  • Proof of concept
  • Single use case
  • 2-week delivery
  • Fixed-scope brief
Start here
Most chosen

AI Deploy

For production implementation

  • Full RAG pipeline
  • Integrations (CRM/ERP/WhatsApp)
  • 6-week delivery
  • Multi-language support
  • DPDP-compliant by default
Get a proposal

AI Managed

For ongoing AI operations

  • Monthly retainer
  • Model monitoring
  • Usage analytics
  • Quarterly reviews
  • SLA-backed support
Talk to us

Delivery process

From brief to live system in 6 weeks

1

Discover

Week 1

We audit your data sources, define use cases, and scope the integration requirements.

Deliverable: Technical brief + architecture plan

2

Architect

Week 2

Design the RAG pipeline, select the appropriate LLM, and plan the deployment infrastructure.

Deliverable: System design document

3

Build

Weeks 3–5

Implement the retrieval pipeline, connect integrations, build the interface, and test iteratively.

Deliverable: Staging deployment + test report

4

Deploy & Monitor

Week 6

Production deployment, team training, monitoring setup, and handover documentation.

Deliverable: Live system + runbook

FAQ

AI chatbot questions answered

Ready to deploy an AI assistant?

Book a 30-minute technical call. We'll tell you what's possible with your data in 2 weeks.

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